Welcome

I am a researcher on the edge of Natural Language Processing (NLP) and Information Retrieval (IR). My current research involves text mining applications for a variety of target domains. I am particularly interested in information search in complex domains.

From March 1st, 2017, I have been employed as an Assistant Professor at the Leiden Institute of Advanced Computer Science (LIACS). I am affiliated with the Data Science Research Programme of the Leiden Centre of Data Science.

Currently, I am supervising projects on text mining and information retrieval in the legal domain, the archaeological domain, the policy-making domain, from patient records of GPs and physiotherapists, from user-generated content in online patient communities (discussion forums), and in the context of fake news detection.

I collaborate with many different public and private partners such as Sanoma, YoungCapital, the Ministry of Finance, The Dutch National Institute for Public Health and the Environment (RIVM), Hogeschool Codarts, KankerNL and the Royal Dutch Library.

 

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Our paper “Evaluation and analysis of term scoring methods for term extraction ” (Suzan Verberne, Maya Sappelli, Djoerd Hiemstra, Wessel Kraaij) was selected as one of ACM Computing Reviews’ 2016 Best of Computing.

 

 

 

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Our paper “Show Me How to Tie a Tie: Evaluation of Cross-Lingual Video Retrieval” (Pavel Braslavski, Suzan Verberne, and Ruslan Talipov) got a honorable mention at CLEF 2016!

 

 

 

 

 

JASIST best paper award 2014

 

We won a John Wiley Best JASIST Paper Award for the paper “Reliability and Validity of Query Intent Assessments”, Suzan Verberne, Maarten van der Heijden, Max Hinne, Maya Sappelli, Saskia Koldijk, Eduard Hoenkamp and Wessel Kraaij